An adaptive approach for optimal path planning of unmanned aerial vehicles

摘要: This paper utilises a class of mesh adaptive direct search method to design an optimal path for unmanned aerial vehicles (UAVs). To this end, multi-objective optimisation problem is considered simultaneous some conflicting objective functions under different kinds vehicle and mission constraints. Since the planning UAVs in large geographical area typical large-scale problem, avoid memory computational intensive issues, techniques such as constructing mesh, polling, barrier approach are incorporated proposed algorithm. The tested scenarios various realistic terrain environments. results show effectiveness guiding final destination by providing near-optimal feasible paths quickly effectively. will also be compared with genetic algorithm approach, which has been recently used planning.